李丽平, 亓德云, 江艳微, 陆俊颖, 周媛. 上海市虹口区中学生抑郁症状和网络使用的关系[J]. 环境与职业医学, 2020, 37(12): 1170-1174. DOI: 10.13213/j.cnki.jeom.2020.20344
引用本文: 李丽平, 亓德云, 江艳微, 陆俊颖, 周媛. 上海市虹口区中学生抑郁症状和网络使用的关系[J]. 环境与职业医学, 2020, 37(12): 1170-1174. DOI: 10.13213/j.cnki.jeom.2020.20344
LI Li-ping, QI De-yun, JIANG Yan-wei, LU Jun-ying, ZHOU Yuan. Relationships between depressive symptoms and internet use among secondary school students in Hongkou District of Shanghai[J]. Journal of Environmental and Occupational Medicine, 2020, 37(12): 1170-1174. DOI: 10.13213/j.cnki.jeom.2020.20344
Citation: LI Li-ping, QI De-yun, JIANG Yan-wei, LU Jun-ying, ZHOU Yuan. Relationships between depressive symptoms and internet use among secondary school students in Hongkou District of Shanghai[J]. Journal of Environmental and Occupational Medicine, 2020, 37(12): 1170-1174. DOI: 10.13213/j.cnki.jeom.2020.20344

上海市虹口区中学生抑郁症状和网络使用的关系

Relationships between depressive symptoms and internet use among secondary school students in Hongkou District of Shanghai

  • 摘要: 背景

    中学生处于成长的特殊时期,更容易因为过度或不恰当地使用网络而出现成瘾现象,从而影响身心健康。

    目的

    研究上海市虹口区中学生抑郁症状和网络使用的相关性,为开展青少年心理健康干预提供依据。

    方法

    2019年9月采用多阶段分层整群抽样方法,在上海市虹口区随机抽取2所高中、2所初中、1所职校,每所学校按照年级分层(七年级至十二年级),随机抽取2~3个班级,抽中班级学生全部纳入研究。对纳入研究的在校中学生的基本信息、抑郁症状、网络成瘾、视屏时间进行横断面问卷调查。回收问卷1275份,剔除不合格问卷23份,最终纳入问卷1252份,有效率为98%。

    结果

    虹口区中学生网络成瘾症状检出率为2.9%(36/1 252),抑郁症状检出率为21.0%(263/1 252)。多因素logistic回归分析显示:学段、是否有网络成瘾症状、过去一周每天用移动设备时间是虹口区中学生抑郁症状的影响因素。初中生和高中生抑郁症状检出风险高于职校生,OR及其95% CI分别为1.619(1.036~2.530)和2.141(1.419~3.230);网络成瘾行为是抑郁症状的危险因素,OR及其95% CI为3.437(1.685~7.010);相对于不使用移动设备的中学生,每天使用时长≥4 h的学生发生抑郁症状的风险更高,OR及其95% CI为2.337(1.138~4.799)。

    结论

    网络成瘾、移动设备时间视屏时间过长是虹口区中学生抑郁症状的危险因素,初中生和高中生是重点关注人群。建议通过家校联动,避免学生视屏时间过长和网络成瘾,从而防范学生抑郁发生。

     

    Abstract: Background

    Secondary school students are at a special growth period, and tend to become addicted because of excessive or improper use of the internet, thus affecting their physical and mental health.

    Objective

    This study aims to understand the correlations between depressive symptoms and internet use among secondary school students in Hongkou District, Shanghai, and to provide evidence for intervening mental health problems among adolescents.

    Methods

    Two high schools, two middle schools, and one vocational school were randomly selected in Hongkou District of Shanghai by multi-stage stratified cluster sampling method in September 2019. Two to three classes were randomly selected from each grade (Grade 7 to 12) from each school. All the students of the selected classes were included in the study. A cross-sectional questionnaire survey was conducted to investigate the general information, depressive symptoms, internet addiction, and screen-watching time of the students. Of the 1 275 questionnaires recovered, 23 unqualified questionnaires were excluded, and finally a total of 1 252 questionnaires were included, corresponding to a valid return rate of 98%.

    Results

    The detection rate of internet addiction symptoms among the students was 2.9% (36/1 252), and the detection rate of depressive symptoms was 21.0% (263/1 252). Multiple logistic regression analysis results showed that key stage, whether you have symptoms of internet addiction, and the time spent on mobile devices every day in the past week were the influencing factors of students' depressive symptoms. The risks of middle school students' and high school students' depressive symptoms were both higher than that of vocational school students', and corresponding ORs (95% CIs) were 1.619 (1.036-2.530) and 2.141 (1.419-3.230) respectively. Those with internet addiction related behaviors had a higher risk of depressive symptoms than those without, and OR (95% CI) was 3.437 (1.685-7.010). Compared with the students who did not use mobile devices, those who spent 4 h and above had a higher risk of developing depressive symptoms, and OR (95%CI) was 2.337 (1.138-4.799).

    Conclusion

    Internet addiction and excessive screen-watching time on mobile devices are risk factors for depressive symptoms in secondary school students in Hongkou District. Middle and high school students are also key populations at higher risks of developing depressive symptoms. Avoiding excessive screen-watching time and internet addiction through home-school linkage could prevent students' depressive symptoms.

     

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